As an investor, data analyst, credit union agent, or financial professional, you have to focus on swift turnaround times and responses to your customers. It’s a marvel that can only be achieved with the help of an AI-based automation that can parse through heaps of documents and categorize them based on your unique assessments in a matter of minutes, saving you valuable time and costs. With Alphamoon, you set up the process as you need. You define the fields that you wish to pull from the documents, and name them in the way that’s clear to you and your team.

The platform supports common file types, including PDF, DOCX, XLSX, PNG, JPG, TIFF, and emails. After data extraction, data appears in a file, ready to be downloaded as CSV or XLSX or safely imported into the internal processing system of your choice through API or Zapier.

The content and complexity of loan documents vary widely depending on factors such as the type of loan, the parties involved, and applicable laws and regulations. E.g., loan, credit, and finance agreements also have a crucial difference equating to unique data extraction requirements. A loan provides all the money requested in one go at the time it is issued; bank credit, on the other hand, provides the customer with an amount of money that can be used as required, using the entire amount borrowed, part of it, or none. While some data, such as loan amount and purpose, repayment terms, maturity dates, late payment, and default terms, can be universal, interest rates are not applicable in the case of finance agreements as they have no stated interest rates.